code: def input_shape(self) -> torch.Size:
      return torch.Size([self.max_sequence_length, self.input_size])
  
imports: import logging
  import torch
  from torch import nn
  from torch.nn import functional
  from ludwig.utils.torch_utils import get_activation, LudwigModule
label_desc: Use image node_id 2 for calling the TransformerStack obj's underlying member method code with example usage: obj.input_shape() and returns: torch